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Full Stack Data Engineer Jobs in Harrison, NJ (NOW HIRING)

Full Stack Engineer

New York, NY · On-site

$250K - $260K/yr

AI Infrastructure / Data Infrastructure / SaaS Compensation: $190,000-$215,000 base salary ... The Opportunity Our partner is hiring Senior Full Stack Engineers to help build the next generation ...

Full Stack Engineer

New York, NY · On-site

$250K - $260K/yr

AI Infrastructure / Data Infrastructure / SaaS Compensation: $190,000-$215,000 base salary ... The Opportunity Our partner is hiring Senior Full Stack Engineers to help build the next generation ...

Full Stack Engineer

New York, NY · On-site

$250K - $260K/yr

AI Infrastructure / Data Infrastructure / SaaS Compensation: $190,000-$215,000 base salary ... The Opportunity Our partner is hiring Senior Full Stack Engineers to help build the next generation ...

Full Stack Engineer

Manhattan, NY · On-site

$190 - $215/hr

AI Infrastructure / Data Infrastructure / SaaS Compensation: $190,000-$215,000 base salary ... The Opportunity Our partner is hiring Senior Full Stack Engineers to help build the next generation ...

Data Engineer

Newark, NJ

$119K - $143K/yr

Data Engineer (Financial background) Location: Newark, NJ Hybrid Locals only Duration: 12 months ... Develop software using React, Spring Boot, Node.js within full-stack environments such as MERN/MEAN.

Data Engineer

Newark, NJ

$119K - $143K/yr

Data Engineer (Financial background) Location: Newark, NJ Hybrid Locals only Duration: 12 months ... Develop software using React, Spring Boot, Node.js within full-stack environments such as MERN/MEAN.

Full Stack Engineer

Manhattan, NY · On-site

$180 - $220/hr

Full Stack Engineer**Willis Re is building its global technology estate from the ground up ... Consume data through APIs and services to surface it in usable, performant ways for brokers and ...

You take that context and make it real: well-architected, reliable software that handles messy data ... Deep full-stack engineering fundamentals. You have shipped production software across React and ...

Full-Stack Software Engineer Location: New York City Employment Type: Full-time Experience: New grad to 2 years Focus: Full-Stack Engineering, AI Coding Tools, Internal Tooling, Healthcare AI About ...

Full-Stack Software Engineer Location: New York City Employment Type: Full-time Experience: New grad to 2 years Focus: Full-Stack Engineering, AI Coding Tools, Internal Tooling, Healthcare AI About ...

Vice President, Full Stack Engineer We're seeking a future team member for the role of Vice ... Partner with platform, data, product, and business teams to translate complex requirements into ...

Vice President, Full Stack Engineer We're seeking a future team member for the role of Vice ... Partner with platform, data, product, and business teams to translate complex requirements into ...

Full-Stack Software Engineer Location: New York City Employment Type: Full-time Experience: New grad to 2 years Focus: Full-Stack Engineering, AI Coding Tools, Internal Tooling, Healthcare AI About ...

Design systems for extreme speed, reliability, and real-time data processing under high traffic ... Actively upskill fellow engineers on full-stack best practices, LLM integration patterns, and ...

Showing results 21-40

Full Stack Data Engineer information

See Harrison, NJ salary details

$46.6K

$141.2K

$199.5K

How much do full stack data engineer jobs pay per year?

As of Sep 5, 2026, the average yearly pay for full stack data engineer in Harrison, NJ is $141,156.00, according to ZipRecruiter salary data. Most workers in this role earn between $116,300.00 and $165,500.00 per year, depending on experience, location, and employer.

What is a full stack data engineer?

A Full Stack Data Engineer is a professional who designs, builds, and maintains the entire data pipeline, from data collection and storage to processing and visualization. They work with both the backend infrastructure (such as databases, data warehouses, and ETL processes) and frontend tools (like dashboards or reporting systems) to ensure data is accessible and usable for analytics. Full Stack Data Engineers possess skills in programming, database management, data modeling, cloud platforms, and often data visualization, allowing them to manage every stage of data flow within an organization.

How does a full stack data engineer typically balance responsibilities between backend data infrastructure and frontend data presentation tasks?

Full Stack Data Engineers are often required to split their time between developing robust backend data pipelines and creating user-facing tools or dashboards that visualize data insights. This dual responsibility means you'll need to prioritize tasks based on project needs, effectively collaborating with data scientists, analysts, and frontend developers. Communication is key, as you'll bridge gaps between technical teams and business stakeholders, ensuring data flows seamlessly from source systems to end users. Over time, many engineers find opportunities to specialize further or move into leadership roles overseeing data architecture and team strategy.

What are the key skills and qualifications needed to thrive as a full stack data engineer, and why are they important?

To thrive as a Full Stack Data Engineer, you need strong expertise in data modeling, ETL processes, and proficiency in both backend (e.g., Python, Java) and frontend (e.g., JavaScript, React) development, often supported by a degree in computer science or a related field. Familiarity with cloud platforms (such as AWS or Azure), big data tools (like Spark or Hadoop), and database systems (SQL and NoSQL) is typically required, and certifications in these technologies are advantageous. Excellent problem-solving, communication, and collaboration skills help you bridge gaps between data, development, and business teams. These skills ensure you can design, build, and maintain scalable data solutions that meet organizational needs efficiently.

What is the difference between Full Stack Data Engineer vs Data Scientist?

AspectFull Stack Data EngineerData Scientist
CredentialsBachelor's/Master's in CS, Data Engineering certificationsBachelor's/Master's in CS, Data Science or related fields
Work EnvironmentBuild data pipelines, manage databases, develop APIsAnalyze data, create models, generate insights
Industry UsageTech, finance, healthcare, where data infrastructure is keyResearch, analytics, product development teams

Full Stack Data Engineers focus on building and maintaining data infrastructure, integrating data from various sources, and ensuring data availability. Data Scientists analyze data, develop models, and generate insights. While both roles require strong technical skills, Full Stack Data Engineers are more involved in data pipeline development, whereas Data Scientists focus on data analysis and modeling.

What are popular job titles related to Full Stack Data Engineer jobs in Harrison, NJ?

For Full Stack Data Engineer jobs in Harrison, NJ, the most frequently searched job titles are:

What job categories do people searching Full Stack Data Engineer jobs in Harrison, NJ look for?

The top searched job categories for Full Stack Data Engineer jobs in Harrison, NJ are:

What cities near Harrison, NJ are hiring for Full Stack Data Engineer jobs?

Cities near Harrison, NJ with the most Full Stack Data Engineer job openings:

Infographic showing various Full Stack Data Engineer job openings in Harrison, NJ as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $141,156 per year, or $67.9 per hour.

Full Stack Engineer

talentpluto

New York, NY • On-site

$250K - $260K/yr

Full-time

Re-posted 9 days ago


Key responsibilities

  • Design, build, and maintain full-stack product features with an emphasis on backend systems

  • Develop scalable data movement pipelines and workflow automation capabilities

  • Partner with product, engineering, and occasionally customers to solve real-world technical challenges


Job description

Location: Union Square, New York City

Work Model: In-Office, 5 Days/Week

Industry: AI Infrastructure / Data Infrastructure / SaaS

Compensation: $190,000–$215,000 base salary + meaningful early-stage equity (target total compensation up to ~$250K–$260K)

About the Company

Our partner is a rapidly growing, venture-backed AI infrastructure startup building the technology that enables software companies to migrate customer data between complex systems quickly and reliably. Their platform automates one of the most difficult problems in enterprise software adoption—moving and transforming data across CRMs, ERPs, and other systems of record—allowing customers to onboard in hours instead of weeks.

The company has experienced exceptional growth, increasing revenue nearly 4x in the first half of the year, and is now scaling both its engineering and go-to-market teams. Their product sits at the intersection of AI, data infrastructure, and workflow automation, solving technically challenging problems for a growing customer base.

The Opportunity

Our partner is hiring Senior Full Stack Engineers to help build the next generation of their product. This is a backend-heavy product engineering role focused on developing customer-facing features, building scalable data movement systems, and solving complex engineering problems that directly impact customers.

This isn't an environment where engineers simply work through tickets. The team is looking for builders who enjoy shaping product direction, collaborating closely with customers, and using AI as a core part of their development workflow. You'll work alongside experienced engineers in a highly collaborative environment where ownership, initiative, and product thinking are expected from day one.

Responsibilities
  • Design, build, and maintain full-stack product features with an emphasis on backend systems
  • Develop scalable data movement pipelines and workflow automation capabilities
  • Partner with product, engineering, and occasionally customers to solve real-world technical challenges
  • Contribute to product direction by providing thoughtful technical feedback and implementation ideas
  • Build AI-enabled product capabilities and incorporate modern AI tooling into daily development workflows
  • Write clean, maintainable TypeScript code across frontend and backend services
  • Help improve platform performance, reliability, and developer experience
Requirements
  • 5–7+ years of professional software engineering experience (4 years minimum considered)
  • Strong experience building full-stack applications using TypeScript and React
  • Experience developing backend systems, APIs, and data-intensive applications
  • Product-minded engineer who enjoys solving customer problems—not just implementing requirements
  • Comfortable working in fast-paced startup environments with significant ownership
  • Demonstrated use of AI tools within your engineering workflow
  • Strong communication skills and willingness to collaborate across product and engineering teams

Nice to Have

  • Experience with ETL, data movement, workflow orchestration, or pipeline development
  • Experience with browser automation, web scraping, or automation tooling
  • Experience working with AI agents or modern LLM frameworks
  • Familiarity with AWS, Postgres, or Temporal